ArcticDB, a high-performance Python-native database, was built in response to the ever-increasing amount of data and complexity of front-office research at
Bloomberg will integrate ArcticDB into BQuant, Bloomberg's analytics platform for quantitative analysts and data scientists in the financial markets to quickly build, test, and deploy models for alpha generation, risk, and trading. These models often rely on high volume timeseries data that include Bloomberg's comprehensive range of high-quality, market leading, multi-asset-class financial and alternative linked datasets, as well as a firm's own internal data. The BQuant environment, which combines Bloomberg data, services, and tools with the best of open source technology such as Python and Jupyter notebooks, is fully integrated with the
The first iteration of ArcticDB was made available on an open source basis via GitHub and has seen over one million downloads since 2015. The latest version continues an open source approach and adds a commercial proposition through an enterprise version for production use.
This latest version of ArcticDB retains the same Python-friendly API backed by a new C++ engine. It is designed to leverage modern cloud object storage, complement any existing data science tech stack, and can be installed with a single command.
"Today's tools are simply not built to address the challenges of real-world data science. Datasets are massive, complex and time-varying. However, regardless of their original form, DataFrames quickly emerge as the unit of analysis in modern data science workflows and ArcticDB makes this a first-class concern. By streamlining how we work, ArcticDB enhances our ability to generate new trading strategies, optimise portfolios, and manage investment risk. These are all features that we expect Bloomberg users will appreciate too."
"Technology is part of our DNA; we're using our 35 years of quant investing and technology experience to improve performance and efficiency across alpha generation, trading and execution, and risk management. ArcticDB has transformed the way we handle data, and we're confident it will do the same for others."
"We're excited to collaborate with
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We invest across a diverse range of strategies and asset classes, with a mix of long only and alternative strategies run on a discretionary and quantitative basis, across liquid and private markets. Our investment teams work within
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About Bloomberg
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